However, ITS model considers when to return predictions to end users in the ongoing timeline. A key constraint of the early classification of irregular time series problem is that when classifying a series at a particular point in its timeline, we cannot use any future values.
This constraint hinders the use of methods that use all observations during interpolation [1]}, [2]} or ODE models that encode sequences backwards [3]}.
Such methods are quickly becoming pervasive [4]}, though creating online models for ITS remains a burgeoning area [5]}, [6]}, [7]}.
